.. _l-onnx-doc-Scale:

=====
Scale
=====

.. contents::
    :local:


.. _l-onnx-op-scale-1:

Scale - 1
=========

**Version**

* **name**: `Scale (GitHub) <https://github.com/onnx/onnx/blob/main/docs/Operators.md#Scale>`_
* **domain**: **main**
* **since_version**: **1**
* **function**:
* **support_level**:
* **shape inference**:

This version of the operator has been available
**since version 1**.

**Summary**

Scale takes one input data (Tensor<float>) and produces one output data
(Tensor<float>) whose value is the input data tensor scaled element-wise.

**Attributes**

* **scale**:
  The scale to apply. Default value is ``?``.

**Inputs**

* **input** (heterogeneous) - **T**:
  Input data to be scaled

**Outputs**

* **output** (heterogeneous) - **T**:
  Output data after scaling

**Examples**